摘要
对配电网拓扑进行准确的实时辨识是电力系统安全稳定运行的基础,但随着新能源的接入以及配电网规模不断增大,配电网拓扑结构的动态变化愈加频繁且难以辨识。然而,现有配电网拓扑辨识算法所使用的历史数据需要人工对其进行拓扑标注,且拓扑辨识时间长,难以实现配电网拓扑实时辨识。因此,文中提出了一种基于现场可编程逻辑门阵列(FPAG)的两阶段配电网拓扑结构实时辨识算法。该算法不需要预先给出配电网拓扑类别的数量,即可对已有历史数据进行相应的拓扑标注及分类,并且基于FPGA实现了对配电网拓扑的实时辨别。该算法分为2个阶段:第1阶段采用变分贝叶斯高斯混合模型,对已有历史数据进行相应的拓扑标注及分类;第2阶段采用麻雀搜索算法,使得支持向量机快速收敛得到最优参数,以实现对配电网拓扑结构的精准辨识。基于该算法,利用FPGA并行架构以及高速高密度特性建立了实时拓扑结构辨识平台。最后,通过算例分析验证了所提辨识方法的有效性和优越性。
Accurate real-time topology identification of distribution networks is the basis for safe and stable operation of power systems,but with the access of renewable energy and the increasing scale of distribution network,the dynamic changes of the distribution network topology are more frequent and difficult to identify.However,the historical data used by the existing topology identification algorithms need to be labeled manually,and the topology identification time is long.So it is difficult to achieve realtime topology identification for distribution networks.Therefore,a real-time two-stage topology identification algorithm for distribution networks based on field programmable logic gate array(FPAG)is proposed.The proposed algorithm does not need to know the number of distribution network topology categories in advance,and can label and classify the existing historical data,and realize the real-time topology identification for distribution networks based on FPGA.The algorithm is divided into two stages.The first stage uses the variational Bayesian Gaussian mixture model to label and classify the existing historical data.In the second stage,the sparrow search algorithm is used to make the support vector machine converge quickly to get the optimal parameters,so as to realize the accurate topology identification for distribution networks.Based on this algorithm,a real-time topology identification platform is established by using FPGA parallel architecture and high speed and high density characteristics.Finally,the effectiveness and superiority of the proposed identification method are verified by case analysis.
作者
王冠淇
裴玮
李洪涛
郝良
马丽
WANG Guanqi;PEI Wei;LI Hongtao;HAO Liang;MA Li(Institute of Electrical Engineering,Chinese Academy of Sciences,Beijing 100190,China;School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China;State Grid Beijing Electric Power Company,Beijing 100031,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2024年第12期100-108,共9页
Automation of Electric Power Systems
基金
国网北京市电力公司科技项目(520223220029)。
关键词
配电网
拓扑辨识
现场可编程逻辑门阵列(FPGA)
变分贝叶斯高斯混合模型
麻雀搜索算法
支持向量机
distribution network
topology identification
field programmable gate array(FPGA)
variational Bayesian Gaussian mixture model
sparrow search algorithm
support vector machine
